Abstract

This paper discusses image-comparison methods used in the modern automatic-navigation systems of mobile robots. Features of the analysis of video data in problems involving the navigation of unmanned aircraft and terrestrial robots that operate indoors and outdoors are analyzed. The prospects of further improving the automatic image-analysis algorithms used for navigation are discussed.

© 2010 Optical Society of America

Photoelectric scanning-based resection method for mobile robot localization

Jiarui Lin, Zhiyuan Niu, Yongjie Ren, Linghui Yang, Zheng Wang, Patrick Keogh, and Jigui Zhu
Appl. Opt. 60(17) 5020-5030 (2021)

Optimization of the computational load of a hypercube supercomputer onboard a mobile robot

Jacob Barhen, N. Toomarian, and V. Protopopescu
Appl. Opt. 26(23) 5007-5014 (1987)

Efficient method for the determination of image correspondence in airborne applications using inertial sensors

Matthew Woods and Aggelos Katsaggelos
J. Opt. Soc. Am. A 30(1) 102-111 (2013)

Robust tracking of respiratory rate in high-dynamic range scenes using mobile thermal imaging

Youngjun Cho, Simon J. Julier, Nicolai Marquardt, and Nadia Bianchi-Berthouze
Biomed. Opt. Express 8(10) 4480-4503 (2017)

Determining the rotational mobility of a single molecule from a single image: a numerical study

Adam S. Backer and W. E. Moerner
Opt. Express 23(4) 4255-4276 (2015)